dc.contributor.author Sankaranarayanan, Aswin C.Xu, LinaStuder, ChristophLi, YunKelly, Kevin F.Baraniuk, Richard G. 2017-05-12T15:04:32Z 2017-05-12T15:04:32Z 2015 Sankaranarayanan, Aswin C., Xu, Lina, Studer, Christoph, et al.. "Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models." SIAM Journal on Imaging Sciences, 8, no. 3 (2015) SIAM: 1489-1518. http://dx.doi.org/10.1137/140983124. https://hdl.handle.net/1911/94225 Spatial multiplexing cameras (SMCs) acquire a (typically static) scene through a series of coded projections using a spatial light modulator (e.g., a digital micromirror device) and a few optical sensors. This approach finds use in imaging applications where full-frame sensors are either too expensive (e.g., for short-wave infrared wavelengths) or unavailable. Existing SMC systems reconstruct static scenes using techniques from compressive sensing (CS). For videos, however, existing acquisition and recovery methods deliver poor quality. In this paper, we propose the CS multiscale video (CS-MUVI) sensing and recovery framework for high-quality video acquisition and recovery using SMCs. Our framework features novel sensing matrices that enable the efficient computation of a low-resolution video preview, while enabling high-resolution video recovery using convex optimization. To further improve the quality of the reconstructed videos, we extract optical-flow estimates from the low-resolution previews and impose them as constraints in the recovery procedure. We demonstrate the efficacy of our CS-MUVI framework for a host of synthetic and real measured SMC video data, and we show that high-quality videos can be recovered at roughly $60\times$ compression. eng SIAM Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models Journal article SIAM Journal on Imaging Sciences video compressive sensingoptical flowmeasurement matrix designspatial multiplexing cameras 8 3 Text http://dx.doi.org/10.1137/140983124 publisher version 1489 1518
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